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Hands-On Neural Networks with Keras

You're reading from  Hands-On Neural Networks with Keras

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789536089
Pages 462 pages
Edition 1st Edition
Languages
Author (1):
Niloy Purkait Niloy Purkait
Profile icon Niloy Purkait

Table of Contents (16) Chapters

Preface Section 1: Fundamentals of Neural Networks
Overview of Neural Networks A Deeper Dive into Neural Networks Signal Processing - Data Analysis with Neural Networks Section 2: Advanced Neural Network Architectures
Convolutional Neural Networks Recurrent Neural Networks Long Short-Term Memory Networks Reinforcement Learning with Deep Q-Networks Section 3: Hybrid Model Architecture
Autoencoders Generative Networks Section 4: Road Ahead
Contemplating Present and Future Developments Other Books You May Enjoy

The problem with one-step-ahead predictions

Phenomenal! It appears that we are able to almost perfectly predict the stock price on the next day given a set of previous days. We didn't even have to train a fancy neural network! So, why bother to continue? Well, as it turns out, predicting the stock price one day in advance does not really make us millionaires. Moving averages are inherently lagging indicators. They are metrics that reflect significant changes in the market only after the stock price has started to follow a particular trend. Due to the short time span between our predictions and the actual occurrence of the event, the optimal point for market entry would have already passed by the time such a model would reflect a significant trend.

On the other hand, using this method to try to predict multiple timesteps into the future will also not work. We can actually...

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